- Each folder in this Repo has a main.ipynb file, respective data/result files and a .pdf report describing the Python program.
- Each folder represents an individual program and has been appropriately named to identify its application.
- Note that small variations in results between the main.ipynb file and Report may be present due to random initializations and other randomness introduced during subsequent program runs.
-
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Programs to recognize MNIST, USPS digits using Neural Networks, SVM and Random forests, and to compare handwriting samples to determine if it were written by the same person on the CEDAR datasets.
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dani-amirtharaj/Handwriting-Analysis
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Programs to recognize MNIST, USPS digits using Neural Networks, SVM and Random forests, and to compare handwriting samples to determine if it were written by the same person on the CEDAR datasets.
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